A Hybrid Parameterization Technique for Speaker Identification

Gómez Vilda, Pedro ORCID: https://orcid.org/0000-0003-3283-378X, Álvarez Marquina, Agustin ORCID: https://orcid.org/0000-0002-6106-6711, Mazaira Fernández, Luis Miguel, Fernández-Baillo Gallego de la Sacristana, Roberto, Nieto Lluis, Victor ORCID: https://orcid.org/0000-0002-5755-6734, Martínez Olalla, Rafael ORCID: https://orcid.org/0000-0003-2336-9145, Muñoz, Cristina and Rodellar Biarge, M. Victoria ORCID: https://orcid.org/0000-0001-9384-3290 (2008). A Hybrid Parameterization Technique for Speaker Identification. In: "16th European Signal Processing Conference", 25/09/2008-29/09/2008, Lausanne, Switzerland.


Title: A Hybrid Parameterization Technique for Speaker Identification
Item Type: Presentation at Congress or Conference (Article)
Event Title: 16th European Signal Processing Conference
Event Dates: 25/09/2008-29/09/2008
Event Location: Lausanne, Switzerland
Title of Book: Proceedings of the 16th European Signal Processing Conference (EUSIPCO 2008)
Date: 2008
Faculty: Facultad de Informática (UPM)
Department: Arquitectura y Tecnología de Sistemas Informáticos
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Classical parameterization techniques for Speaker Identification use the codification of the power spectral density of raw speech, not discriminating between articulatory features produced by vocal tract dynamics (acoustic-phonetics) from glottal source biometry. Through the present paper a study is conducted to separate voicing fragments of speech into vocal and glottal components, dominated respectively by the vocal tract transfer function estimated adaptively to track the acoustic-phonetic sequence of the message, and by the glottal characteristics of the speaker and the phonation gesture. The separation methodology is based in Joint Process Estimation under the un-correlation hypothesis between vocal and glottal spectral distributions. Its application on voiced speech is presented in the time and frequency domains. The parameterization methodology is also described. Speaker Identification experiments conducted on 245 speakers are shown comparing different parameterization strategies. The results confirm the better performance of decoupled parameterization compared against approaches based on plain speech parameterization.

More information

Item ID: 4672
DC Identifier: https://oa.upm.es/4672/
OAI Identifier: oai:oa.upm.es:4672
Official URL: http://www.eurasip.org/Proceedings/Eusipco/Eusipco...
Deposited by: Memoria Investigacion
Deposited on: 25 Oct 2010 11:35
Last Modified: 20 Apr 2016 13:47
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